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Title: 水下图像去雾与增强 Download
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  • Graph program
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  • File Size:
  • 36.22mb
  • Update:
  • 2019-06-01
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  • Uploaded by:
  • 凫枭
 Description: This paper proposes a better underwater image enhancement method. Firstly, an end-to-end training convolutional neural network is used to measure the input image, and an adaptive bilateral filter is used to process the transmitted image. Then a strategy based on white balance is proposed to eliminate the color deviation of images. The fusion results of fog-free and color correction images are obtained by Laplacian pyramid fusion. Finally, the output image is converted into hybrid wavelet and directional filter bank (HWD) domain for denoising and edge enhancement. The experimental results show that the method can eliminate color distortion and improve the clarity of underwater images.
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FilenameSizeDate
hikvision-master\codes\autolevel.m 2027 2019-03-09
hikvision-master\codes\bfilter2.m 1115 2019-03-09
hikvision-master\codes\bfltColor.m 1354 2019-03-09
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hikvision-master\codes\bilateralFilter.m 6703 2019-03-09
hikvision-master\codes\bilateral_filter.m 1145 2019-03-09
hikvision-master\codes\boxfilter.m 929 2019-03-09
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hikvision-master\codes\convMax.m 2318 2019-03-09
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hikvision-master\codes\vanherk.m 4665 2019-03-09
hikvision-master\codes\white_balance.p 650 2019-03-09
hikvision-master\codes\window_sum_filter.m 608 2019-03-09
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